@inproceedings{1067741af2e84d5294b7ad1ac2b400e2,
title = "A novel stabilization criterion for discrete time fuzzy systems",
abstract = "In this paper, a relaxed stabilization criterion for T-S fuzzy systems is proposed. First, the operation state space is divided into several subregions and then the T-S fuzzy system is transformed to an equivalent switching fuzzy system corresponding to each subregion. Based on the switching fuzzy system we can represent the interactions among the fuzzy subsystems in subregion S j by one matrix {\^X}j. By this way we can reduce the conservatism conduced by representing interactions among the fuzzy subsystems in a single matrix X. The proposed conditions in the criterion can be checked by means of linear matrix inequalities (LMIs) tools. Finally, an example is given to present the superiority of the proposed criterion.",
keywords = "Linear matrix inequalities, Relaxed condition, Stabilization, T-S fuzzy system",
author = "Chen, {Ying Jen} and Wang, {Wen June}",
year = "2006",
language = "???core.languages.en_GB???",
isbn = "1424401348",
series = "2006 IEEE International Conference on Granular Computing",
pages = "696--699",
booktitle = "2006 IEEE International Conference on Granular Computing",
note = "2006 IEEE International Conference on Granular Computing ; Conference date: 10-05-2006 Through 12-05-2006",
}